Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach

Christine Markarian, Claude Fachkha

2024

Abstract

Governments worldwide have increasingly recognized the transformative potential of data analytics in economics, leading to the establishment of specialized research centers dedicated to economic analysis. These centers serve as hubs for experts to dissect economic indicators, inform policymaking, and foster sustainable growth. With data analytics playing a pivotal role in understanding economic trends and formulating policy responses, the strategic placement of data centers becomes crucial. In this paper, we address the strategic placement of data centers in urbanized environments within the framework of online algorithms. Online algorithms are designed to make sequential decisions without complete information about future inputs, making them suitable for dynamic urban environments. Specifically, we formulate the problem as the Online Data Center Placement problem (ODCP) and design a novel online algorithm for it. To gauge our algorithm’s effectiveness, we use competitive analysis, a standard method for assessing online algorithms. This method compares our algorithm’s solutions with those of the optimal offline solution. Our study aims to provide a systematic approach for informed decision-making, optimizing resource usage, and fostering economic growth.

Paper Citation

in Harvard Style

Markarian C. and Fachkha C. (2024). Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 425-433. DOI: 10.5220/0012788500003756

in Bibtex Style

@conference{data24,
author={Christine Markarian and Claude Fachkha},
title={Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={425-433},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012788500003756},
isbn={978-989-758-707-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Strategic Placement of Data Centers for Economic Analysis: An Online Algorithm Approach
SN - 978-989-758-707-8
AU - Markarian C.
AU - Fachkha C.
PY - 2024
SP - 425
EP - 433
DO - 10.5220/0012788500003756
PB - SciTePress